The article examines how organizations must adapt their storage infrastructure when transitioning retrieval-augmented generation (RAG) and agentic AI systems from pilot projects to production environments. It discusses the specific storage stack modifications required to support these advanced AI applications at scale, moving beyond proof-of-concept limitations.